Restless Grounds

Restless Grounds
Podcast Description
This series is part of the Slow AI project, a collaborative research initiative that emerged from a growing discomfort with the ways artificial intelligence is transforming our world and how quickly it is being developed and implemented, while its extractive, colonial histories remain largely unacknowledged.From image generation and chatbots to facial recognition and predictive policing, AI systems are shaping what we see, how we remember, how we make decisions, and eventually who we become.Rather than trying to fix or limit these technologies, Slow AI asks how we might relate to them differently. It is not a technical solution, but a shift in orientation: toward care, collectivity, and refusal.Each episode features a conversation from our research group, comprising artists, writers, and researchers working at the intersection of theory and practice. These conversations emerge from our Material Playgrounds: experimental sessions that explored algorithmic technologies through artistic research, speculation, and collaborative inquiry.Messy, curious, and sometimes unresolved, this podcast invites you to imagine these technologies otherwise.This podcast is part of the Slow AI project, initiated by Mariana Fernández Mora and supported by the Visual Methodologies Collective (AUAS), the Algorithmic Cultures Research Group (Sandberg Institute), ARIAS Amsterdam, and funded by the Centre of Expertise Creative Innovation (CoECI).
Podcast Insights
Content Themes
The podcast focuses on the intersection of artificial intelligence, history, and culture, discussing themes such as the implications of AI in society and the need for a shift in orientation toward care and collectivity. Episodes explore topics like algorithmic histories and magical thinking, drawing on personal anecdotes and critical theory.

This series is part of the Slow AI project, a collaborative research initiative that emerged from a growing discomfort with the ways artificial intelligence is transforming our world and how quickly it is being developed and implemented, while its extractive, colonial histories remain largely unacknowledged.
From image generation and chatbots to facial recognition and predictive policing, AI systems are shaping what we see, how we remember, how we make decisions, and eventually who we become.
Rather than trying to fix or limit these technologies, Slow AI asks how we might relate to them differently. It is not a technical solution, but a shift in orientation: toward care, collectivity, and refusal.
Each episode features a conversation from our research group, comprising artists, writers, and researchers working at the intersection of theory and practice. These conversations emerge from our Material Playgrounds: experimental sessions that explored algorithmic technologies through artistic research, speculation, and collaborative inquiry.Messy, curious, and sometimes unresolved, this podcast invites you to imagine these technologies otherwise.
This podcast is part of the Slow AI project, initiated by Mariana Fernández Mora and supported by the Visual Methodologies Collective (AUAS), the Algorithmic Cultures Research Group (Sandberg Institute), ARIAS Amsterdam, and funded by the Centre of Expertise Creative Innovation (CoECI).
In this episode of Restless Grounds, host Mariana Fernández Mora is joined by Andy Dockett, Carlo De Gaetano, and Zachary Formwalt to reflect on what it means to consider yourself a storyteller, the importance of imagining alternative futures, finding joy and opening up new narratives that resist capitalism. Together, they explored the role of storytelling and imagination as resistance within the context of algorithmic systems and their entangled ecologies. From narrative as a site of refusal to the politics of speculative world-building, the conversation considers how creative and collective imaginaries offer tools for resisting extractive technological logics.Soundscapes in this episode were created by artist and researcher Angelo Custódio during the Slow AI Material Playground “Everything Evaporates.”

Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.